Zobrazeno 1 - 10
of 125
pro vyhledávání: '"D. Kavetski"'
Publikováno v:
Hydrology and Earth System Sciences, Vol 27, Pp 873-893 (2023)
Streamflow forecasts have the potential to improve water resource decision-making, but their economic value has not been widely evaluated, since current forecast value methods have critical limitations. The ubiquitous measure for forecast value, the
Externí odkaz:
https://doaj.org/article/2163ef69958a441cad34afbe4fb9fc3a
Publikováno v:
Hydrology and Earth System Sciences, Vol 26, Pp 5669-5683 (2022)
Subseasonal streamflow forecasts inform a multitude of water management decisions, from early flood warning to reservoir operation. Seamless forecasts, i.e. forecasts that are reliable and sharp over a range of lead times (1–30 d) and aggregation t
Externí odkaz:
https://doaj.org/article/54a17d4a673a404bb3c0cf2e91f4a54c
Publikováno v:
Geoscientific Model Development, Vol 14, Pp 7047-7072 (2021)
Catchment-scale hydrological models are widely used to represent and improve our understanding of hydrological processes and to support operational water resource management. Conceptual models, which approximate catchment dynamics using relatively si
Externí odkaz:
https://doaj.org/article/93bedaba0275409d8da0df7d51b13fe8
Autor:
F. Woldemeskel, D. McInerney, J. Lerat, M. Thyer, D. Kavetski, D. Shin, N. Tuteja, G. Kuczera
Publikováno v:
Hydrology and Earth System Sciences, Vol 22, Pp 6257-6278 (2018)
Streamflow forecasting is prone to substantial uncertainty due to errors in meteorological forecasts, hydrological model structure, and parameterization, as well as in the observed rainfall and streamflow data used to calibrate the models. Statistica
Externí odkaz:
https://doaj.org/article/78980e3ceea948c2a41ffcbc47f5f936
Publikováno v:
Hydrology and Earth System Sciences, Vol 22, Pp 871-887 (2018)
Monthly to seasonal streamflow forecasts provide useful information for a range of water resource management and planning applications. This work focuses on improving such forecasts by considering the following two aspects: (1) state updating to f
Externí odkaz:
https://doaj.org/article/a528bb8de23b4c21b1b4d4fe218414e3
Autor:
W. R. van Esse, C. Perrin, M. J. Booij, D. C. M. Augustijn, F. Fenicia, D. Kavetski, F. Lobligeois
Publikováno v:
Hydrology and Earth System Sciences, Vol 17, Iss 10, Pp 4227-4239 (2013)
Models with a fixed structure are widely used in hydrological studies and operational applications. For various reasons, these models do not always perform well. As an alternative, flexible modelling approaches allow the identification and refinement
Externí odkaz:
https://doaj.org/article/ec70fc275f464d53b6c85e9862d882f1
Publikováno v:
Journal of Geophysical Research: Atmospheres
Journal of Geophysical Research: Atmospheres, 2023, 128 (9), ⟨10.1029/2022JD037908⟩
Journal of Geophysical Research: Atmospheres, 2023, 128 (9), ⟨10.1029/2022JD037908⟩
International audience; Floods and heavy precipitation have disruptive impacts worldwide, but their historical variability remains only partially understood at the global scale. This article aims at reducing this knowledge gap by jointly analyzing se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::292c024bf8877139946ebb17db14004d
https://hal.science/hal-04111887/file/published.pdf
https://hal.science/hal-04111887/file/published.pdf
Akademický článek
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Publikováno v:
Hydrology and Earth System Sciences, Vol 22, Pp 871-887 (2018)
Monthly to seasonal streamflow forecasts provide useful information for a range of water resource management and planning applications. This work focuses on improving such forecasts by considering the following two aspects: (1) state updating to forc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2eb5679878834aba93701675db0aea50
https://www.hydrol-earth-syst-sci.net/22/871/2018/
https://www.hydrol-earth-syst-sci.net/22/871/2018/
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
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